activity
20172025
most citedSecurity in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges

86 citations · 137 across the 20 of their papers we have counts for

collaborators

20 papers

cs.LG2025

Multiscale Astrocyte Network Calcium Dynamics for Biologically Plausible Intelligence in Anomaly Detection

Berk Iskar, Michael Taynnan Barros

Network anomaly detection systems encounter several challenges with traditional detectors trained offline. They become susceptible to concept drift and new threats such as zero-day…

eess.IV2025

Beyond Imaging: Vision Transformer Digital Twin Surrogates for 3D+T Biological Tissue Dynamics

Kaan Berke Ugurlar, Joaquín de Navascués, Michael Taynnan Barros

Understanding the dynamic organization and homeostasis of living tissues requires high-resolution, time-resolved imaging coupled with methods capable of extracting interpretable, p…

cs.ET2024★ 1 cited

Embodied Biocomputing Sequential Circuits with Data Processing and Storage for Neurons-on-a-chip

Giulio Basso, Reinhold Scherer, Michael Taynnan Barros

With conventional silicon-based computing approaching its physical and efficiency limits, biocomputing emerges as a promising alternative. This approach utilises biomaterials such…

q-bio.QM2023★ 1 cited

From multiscale biophysics to digital twins of tissues and organs: future opportunities for in silico pharmacology

Michael Taynnan Barros, Michelangelo Paci, Aapo Tervonen +4

With many advancements in in silico biology in recent years, the paramount challenge is to translate the accumulated knowledge into exciting industry partnerships and clinical appl…

q-bio.NC2022★ 1 cited

Signal Reception With Generic Three-State Receptors in Synaptic MC

Sebastian Lotter, Michael T. Barros, Robert Schober +1

Synaptic communication is studied by communication engineers for two main reasons. One is to enable novel neuroengineering applications that require interfacing with neurons. The o…

cs.ET2022★ 6 cited

Biocomputing Model Using Tripartite Synapses Provides Reliable Neuronal Logic Gating with Spike Pattern Diversity

Giulio Basso, Michael Taynnan Barros

Biocomputing technologies exploit biological communication mechanisms involving cell-cell signal propagation to perform computations. Researchers recently worked toward realising l…

eess.SP2021★ 3 cited

Applying Intelligent Reflector Surfaces for Detecting Violent Expiratory Aerosol Cloud using Terahertz Signals

Harun Šiljak, Michael Taynnan Barros, Nathan D'Arcy +3

The recent COVID-19 pandemic has driven researchers from different spectrum to develop novel solutions that can improve detection and understanding of SARS-CoV-2 virus. In this art…

cs.ET2021

Microfluidic-based Bacterial Molecular Computing on a Chip

Daniel P. Martins, Michael Taynnan Barros, Benjamin O'Sullivan +5

Biocomputing systems based on engineered bacteria can lead to novel tools for environmental monitoring and detection of metabolic diseases. In this paper, we propose a Bacterial Mo…

q-bio.NC2021

Neuron Signal Propagation Analysis of Cytokine-Storm induced Demyelination

Geoflly L. Adonias, Harun Siljak, Michael Taynnan Barros +1

The COVID-19 pandemic has shaken the world unprecedentedly, where it has affected the vast global population both socially and economically. The pandemic has also opened our eyes t…

physics.med-ph2021

Ultrasound-based Control of Micro-Bubbles for Exosome Delivery in Treating COVID-19 Lung Damage

Bruna Fonseca, Caio Fonseca, Michael Barros +4

The recent COVID-19 pandemic has resulted in high fatality rates, especially for patients who suffer from underlying health issues. One of the more serious symptoms exhibited from…

q-bio.OT2020★ 3 cited

Molecular Communications in Viral Infections Research: Modelling, Experimental Data and Future Directions

Michael Taynnan Barros, Mladen Veletić, Masamitsu Kanada +4

Hundreds of millions of people worldwide are affected by viral infections each year, and yet, several of them neither have vaccines nor effective treatment during and post-infectio…

eess.SP2020★ 3 cited

Evolving Intelligent Reflector Surface towards 6G for Public Health: Application in Airborne Virus Detection

Harun Šiljak, Nouman Ashraf, Michael Taynnan Barros +5

While metasurface based intelligent reflecting surfaces (IRS) are an important emerging technology for future generations of wireless connectivity in its own right, the plans for t…

q-bio.CB2020

Engineering Calcium Signaling of Astrocytes for Neural-Molecular Computing Logic Gates

Michael Taynnan Barros, Phuong Doan, Meenakshisundaram Kandhavelu +2

This paper proposes the use of Eukaryotic cells, namely astrocytes, to develop logic gates. The logic gates are achieved by manipulating the threshold of Ca ion flows betwee…

q-bio.NC2020

Cyberattacks on Miniature Brain Implants to Disrupt Spontaneous Neural Signaling

Sergio López Bernal, Alberto Huertas Celdrán, Lorenzo Fernández Maimó +3

Brain-Computer Interfaces (BCI) arose as systems that merge computing systems with the human brain to facilitate recording, stimulation, and inhibition of neural activity. Over the…

eess.SP2020★ 9 cited

Neurosciences and 6G: Lessons from and Needs of Communicative Brains

Renan C. Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros +9

This paper presents the first comprehensive tutorial on a promising research field located at the frontier of two well-established domains: Neurosciences and wireless communication…

q-bio.NC2020★ 1 cited

Objective Multi-variable Classification and Inference of Biological Neuronal Networks

Michael Taynnan Barros, Harun Siljak, Peter Mullen +3

Classification of biological neuron types and networks poses challenges to the full understanding of the brain's organisation and functioning. In this paper, we develop a novel obj…

q-bio.NC2019★ 19 cited

Utilizing Neurons for Digital Logic Circuits: A Molecular Communications Analysis

Geoflly L. Adonias, Anastasia Yastrebova, Michael Taynnan Barros +3

With the advancement of synthetic biology, several new tools have been conceptualized over the years as alternative treatments for current medical procedures. Most of those applica…

cs.CR2019★ 86 cited

Security in Brain-Computer Interfaces: State-of-the-art, opportunities, and future challenges

Sergio López Bernal, Alberto Huertas Celdrán, Gregorio Martínez Pérez +2

BCIs have significantly improved the patients' quality of life by restoring damaged hearing, sight, and movement capabilities. After evolving their application scenarios, the curre…

cs.ET2018

The Multi-Scale Impact of the Alzheimer's Disease in the Topology Diversity of Astrocytes Molecular Communications Nanonetworks

Michael Taynnan Barros, Walisson Silva, Carlos Danilo Miranda Regis

The Internet of Bio-Nano-Things is a new paradigm that can bring novel remotely controlled actuation and sensing techniques inside the human body. Towards precise bionano sensing t…

cs.ET2017★ 4 cited

Wireless Optogenetic Nanonetworks: Device Model and Charging Protocols

Stefanus A. Wirdatmadja, Michael Taynnan Barros, Yevgeni Koucheryavy +2

In recent years, numerous research efforts have been dedicated towards developing efficient implantable devices for brain stimulation. However, there are limitations and challenges…